[WIP] Add tracking data downloader, tracking benchmark parser and label parser

pykitti/downloader/tracking.py

@@ -0,0 +1,88 @@
+#!/usr/bin/env python
+""""Downloads and unzips the KITTI tracking data.
+Warning: This can take a while, and use up >100Gb of disk space."""
+
+from __future__ import print_function
+
+import argparse
+import os
+import sys
+
+from subprocess import call
+import glob
+
+URL_BASE="https://s3.eu-central-1.amazonaws.com/avg-kitti/"
+tracking_dir_names = ['image_02', 'image_03', 'velodyne', 'calib', 'oxts', 'label_02', 'det_02']
+tracking_dir_zip_tags = ['image_2', 'image_3', 'velodyne', 'calib', 'oxts', 'label_2', 'det_2_lsvm']
+
+def parse_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--kitti_root', type=str, default=os.path.join('data', 'kitti'))
+    # parser.add_argument('--root', type=str, default=None, help='data folder')
+
+    return parser.parse_args(sys.argv[1:])
+
+## Need to clean up lsvm as their files have trailing whitespaces
+def clean_file(filename):
+    f = open(filename, 'r')
+    new_lines = []
+    for line in f.readlines():
+        new_lines.append(line.rstrip())
+    f.close()
+
+    f = open(filename, 'w')
+    for line in new_lines:
+        f.write(line + '\n')
+
+
+    f.close()
+def clean_lsvm(lsvm_dir):
+    for filename in glob.glob(lsvm_dir + '/*.txt'):
+        print('Cleaning ', filename)
+        clean_file(filename)
+
+
+def main():
+    args = parse_args()
+    kitti_dir = args.kitti_root
+
+    # Perform a few sanity checks to make sure we're operating in the right dir
+    # when left with the default args.
+    if not os.path.isabs(kitti_dir):
+        if not os.path.isdir('src'):
+            os.chdir('..')
+
+            if not os.path.isdir('src'):
+                print("Please make sure to run this tool from the DynSLAM "
+                      "project root when using relative paths.")
+                return 1
+
+    tracking_dir = os.path.join(kitti_dir, 'tracking')
+    os.makedirs(tracking_dir, exist_ok=True)
+    os.chdir(tracking_dir)
+
+    tracking_zip_names = ["data_tracking_" + name + ".zip" for name in tracking_dir_zip_tags]
+
+    for dir_name, zip_name in zip(tracking_dir_names, tracking_zip_names):
+        canary_dir = os.path.join('training', dir_name)
+        if os.path.isdir(canary_dir):
+            print("Directory {} canary dir seems to exist, so I will assume the data is there.".format(canary_dir))
+        else:
+            if os.path.exists(zip_name):
+                print("File {} exists. Not re-downloading.".format(zip_name))
+            else:
+                url = URL_BASE + zip_name
+                print("Downloading file {} to folder {}.".format(zip_name, kitti_dir))
+                call(['wget', url])
+
+            call(['unzip', '-o', zip_name])
+
+        if str(canary_dir) == 'training/det_02':
+            print("Need to trim whitespaces for lsvm label files")
+            clean_lsvm('training/det_02')
+
+    return 0
+
+
+if __name__ == '__main__':
+    sys.exit(main())